7 results on '"Carone Fabiani F"'
Search Results
2. Combined IR and XPS analysis of the native (100) surface of single crystalline silicon after HFaq etching
- Author
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Cerofolini, GF, Giussani, A, Carone Fabiani, F, Modelli, A, Mascolo, D, Ruggiero, D, NARDUCCI, DARIO, Romano, E., Cerofolini, G, Giussani, A, Carone Fabiani, F, Modelli, A, Mascolo, D, Ruggiero, D, Narducci, D, and Romano, E
- Subjects
Angle-resolved XPS ,MIR IR ,Silicon surface - Abstract
A combined analysis, based on angle-resolved X-ray photoelectron spectroscopy and multiple-internalreflection infrared spectroscopy, of the (100) silicon surface after etching in dilute aqueous solution of HF is presented. The analysis shows that the surface is mainly formed by a heterogeneous distribution of SiH, SiH2 and SiH3 terminations, but contains (in addition to sub-stoichiometric oxidized silicon) a form of reduced silicon, not consistent with the currently accepted picture of the native HFaq-etched surface. Copyright © 2007 John Wiley & Sons, Ltd.
- Published
- 2007
3. Combined IR and XPS analysis of the native (1 0 0) surface of single-crystalline silicon after HFaq etching
- Author
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Cerofolini, G. F., primary, Giussani, A., additional, Carone Fabiani, F., additional, Modelli, A., additional, Mascolo, D., additional, Ruggiero, D., additional, Narducci, D., additional, and Romano, E., additional
- Published
- 2007
- Full Text
- View/download PDF
4. Adsorption of H2S, HS, S, and H on a stepped Fe(310) surface
- Author
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F. Carone Fabiani, Guido Fratesi, G.P. Brivio, Carone Fabiani, F, Fratesi, G, and Brivio, G
- Subjects
Surface (mathematics) ,Materials science ,Local density of states ,Solid-state physics ,H2S ,Analytical chemistry ,Condensed Matter Physics ,DFT ,Electronic, Optical and Magnetic Materials ,Periodic density functional theory ,Adsorption ,Density of states ,Fe(310) ,FIS/03 - FISICA DELLA MATERIA ,Adsorption energy - Abstract
Using periodic density functional theory we studied adsorption of H2S, HS, S and H on the Fe(310) stepped surface, comparing our results with those on Fe(100). H2S is predicted to weakly adsorb on all high-symmetry sites, with the bridge site at the step edge as preferred one, oriented perpendicularly to the (100) terraces with the two H atoms pointing out of the surface. Adsorption of HS, S, and H is more stable on the bridge, four-fold hollow, and three-fold hollow sites, respectively. The detailed analysis of the computed local density of states show common trends with the behavior of adsorption energies and is able to account for energy differences of all species adsorbed on Fe(100) and Fe(310).
- Published
- 2010
5. Adsorbption and scattering phenomena in materials science
- Author
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CARONE FABIANI, FILIPPO, CARONE FABIANI, F, and NARDUCCI, DARIO
- Subjects
Scattering ,Step Potential ,Wave Packet Dynamic ,Adsorption ,FIS/03 - FISICA DELLA MATERIA ,Tunneling Time - Abstract
The present work is divided in two part. The first is dedicated to the investigation of the gas-metal interactions, an interesting area in the basic surface science but also in applied one, since it could provide a more efficient way to design corrosion-resistant structural metals. In particular, we concentrate our attention on the study H2S on Fe surface. Experimental studies, of adsorption of H2S on Fe, and first-principle calculations were carried out for these systems, clarifying some important questions, such as adsorption geometry and dissociation pathways for H2S, on the above close-packed metal surfaces. However, real samples will also include a number of defects, in particular step edges where bonding of adsorbates is usually stronger than at facets. It is therefore interesting to investigate adsorption of H2S on a stepped Fe surface, a task which has not been considered yet to the best of our knowledge. In the present work we study the H2S interaction with Fe(310) surfaces by DFT calculations in order to understand the role of step defects in the adsorption properties. We recall that the (310) surface is relatively stable, and its surface energy predicted to be even smaller than that of Fe(110). We do not only obtain the binding sites and adsorption energies of H2S and its components, but we also relate bonding to the detailed features of the localdensity of states (LDOS). The second part of the present thesis is devoted to the dynamics of scattering. Scattering underlies various physical processes in different field of physics, mainly in solid state, as for example in thermoelectricity, about the filtering of hot electrons by defects, or adsorption and desorption by a surface, or in charge injection and field emission trough interface, usually associated with tunneling mechanisms. The recent developments of nanotechnology and the advent of modern high-speed high-density MOS devices, have revived the technological and theoretical interest of the scientific community on the scattering problem and in particular on quantun tunneling mechanism usually associated. Ultrascaled nanometric CMOS compatible single electron transistors (SETs) and single atom trasistors has lead the emergence of density of states graining and fluctuations in the contacts which may determine discretization of energy levels, charge localization at intradopant length scale and selection rules on quantum states in tunnelling. Consequently, the understanding of dependence of charge dynamics, across a barrier, from the initial position constitutes a relevant aspect in such systems. In this work we study the scattering process in the non stationary framework using Gaussian wave packet (GWP) to describe the particle wave function of the system so as to consider the dependence of scattering dynamics from the initial conditions. Through a numerical solution of the Schr¨odinger equation we analyse the evolution of the system calculating the transmission of the scattering GWP as a function of the initial spread and position x(0), and comparing simulated data with theoretical results. By our analysis a new important issue emerges: the time spent by the particle to reach its asymptotic probability to be observed beyond the barrier ( that we call formation time), strongly depends on initial conditions, and in particular on x(0). Finally, to analytically express such a dependence, we propose a semi-classical approximated model in which tf is described as the time spent by a finite support (accounting for the 0.99 of the probability) of the incident wave packet to cross the barrier, namely the time required to locate, in coordinate space, the greatest amount of the GWP’s probability distribution beyond the barrier interface.
- Published
- 2014
6. Renal Cystinuria and Immune Cells (T Lymphocytes) Dysfunction: What We Know about?
- Author
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Caprio F, Orefice G, Secondulfo F, Carone Fabiani F, Iervolino A, Capasso G, Simeoni M, Zacchia M, Trepiccione F, and Capolongo G
- Abstract
Introduction: Cystinuria (CYS) is the most common monogenic kidney stone disease., Methods: Starting from an unusual case of CYS associated to primary sclerosing cholangitis, inflammatory bowel disease (IBD), and autoimmune hepatitis in a young male, we carefully review the literature and propose here a working hypothesis regarding the potential risk of cystinuric patients to develop conditions due to immune system dysregulation. To corroborate this hypothesis, we retrospectively evaluate the frequency of dysimmunity in a monocentric cohort including 36 cystinuric patients compared to healthy and disease controls., Results: CYS patients have an increased prevalence of atopic disease compared to disease controls (p = 0.03) and 16.7% of CYS subjects were diagnosed with allergic disease to a variety of antigens., Conclusion: Further studies are needed to define the relationship between proximal tubular transport defect of CYS and dysregulated immunity., (© 2024 S. Karger AG, Basel.)
- Published
- 2024
- Full Text
- View/download PDF
7. The Use of Artificial Intelligence Approaches for Performance Improvement of Low-Cost Integrated Navigation Systems.
- Author
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de Alteriis G, Ruggiero D, Del Prete F, Conte C, Caputo E, Bottino V, Carone Fabiani F, Accardo D, and Schiano Lo Moriello R
- Subjects
- Neural Networks, Computer, Artificial Intelligence, Algorithms
- Abstract
In this paper, the authors investigate the possibility of applying artificial intelligence algorithms to the outputs of a low-cost Kalman filter-based navigation solution in order to achieve performance similar to that of high-end MEMS inertial sensors. To further improve the results of the prototype and simultaneously lighten filter requirements, different AI models are compared in this paper to determine their performance in terms of complexity and accuracy. By overcoming some known limitations (e.g., sensitivity on the dimension of input data from inertial sensors) and starting from Kalman filter applications (whose raw noise parameter estimates were obtained from a simple analysis of sensor specifications), such a solution presents an intermediate behavior compared to the current state of the art. It allows the exploitation of the power of AI models. Different Neural Network models have been taken into account and compared in terms of measurement accuracy and a number of model parameters; in particular, Dense, 1-Dimension Convolutional, and Long Short Term Memory Neural networks. As can be excepted, the higher the NN complexity, the higher the measurement accuracy; the models' performance has been assessed by means of the root-mean-square error ( RMSE ) between the target and predicted values of all the navigation parameters.
- Published
- 2023
- Full Text
- View/download PDF
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